[GitHub] [beam] kennknowles opened a new issue, #18532: KafkaIO.read fails job upon broker death

[GitBox <gi...@apache.org>]

kennknowles opened a new issue, #18532:
URL: https://github.com/apache/beam/issues/18532

   The KafkaIO.read() causes the job/pipeline to fail when a broker falls out of the Kafka Cluster. I'd expect the job to continue running by sourcing the data for the failed broker from one of the partition replicates. 
   
   
   Stacktrace of exception thrown:
   ```
   
   17/11/27 19:41:16 WARN TaskSetManager: Lost task 8.0 in stage 269649.0 (TID 4044336, 96.118.131.19):
   org.apache.beam.runners.spark.repackaged.com.google.common.util.concurrent.UncheckedExecutionException:
   java.lang.IllegalStateException: checkpointed partition PARTITION-38 and assigned partition PARTITION-39
   don't match
   	at org.apache.beam.runners.spark.repackaged.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2214)
   	at
   org.apache.beam.runners.spark.repackaged.com.google.common.cache.LocalCache.get(LocalCache.java:4053)
   	at
   org.apache.beam.runners.spark.repackaged.com.google.common.cache.LocalCache$LocalManualCache.get(LocalCache.java:4899)
   	at
   org.apache.beam.runners.spark.io.MicrobatchSource.getOrCreateReader(MicrobatchSource.java:131)
   	at
   org.apache.beam.runners.spark.stateful.StateSpecFunctions$1.apply(StateSpecFunctions.java:154)
   	at
   org.apache.beam.runners.spark.stateful.StateSpecFunctions$1.apply(StateSpecFunctions.java:105)
   	at
   org.apache.spark.streaming.StateSpec$$anonfun$1.apply(StateSpec.scala:180)
   	at org.apache.spark.streaming.StateSpec$$anonfun$1.apply(StateSpec.scala:179)
   	at
   org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:57)
   	at
   org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:55)
   	at
   scala.collection.Iterator$class.foreach(Iterator.scala:727)
   	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
   	at
   org.apache.spark.streaming.rdd.MapWithStateRDDRecord$.updateRecordWithData(MapWithStateRDD.scala:55)
   	at
   org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:155)
   	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
   	at
   org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
   	at org.apache.spark.rdd.RDD.iterator(RDD.scala:275)
   	at
   org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
   	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
   	at
   org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
   	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
   	at
   org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
   	at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
   	at
   org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
   	at org.apache.spark.scheduler.Task.run(Task.scala:89)
   	at
   org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
   	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
   	at
   java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
   	at java.lang.Thread.run(Thread.java:748)
   Caused
   by: java.lang.IllegalStateException: checkpointed partition PARTITION-38 and assigned partition PARTITION-39
   don't match
   	at shadded.com.google.common.base.Preconditions.checkState(Preconditions.java:737)
   	at
   org.apache.beam.sdk.io.kafka.KafkaIO$UnboundedKafkaReader.<init>(KafkaIO.java:1000)
   	at org.apache.beam.sdk.io.kafka.KafkaIO$UnboundedKafkaSource.createReader(KafkaIO.java:826)
   	at
   org.apache.beam.sdk.io.kafka.KafkaIO$UnboundedKafkaSource.createReader(KafkaIO.java:1)
   	at org.apache.beam.runners.spark.io.MicrobatchSource$ReaderLoader.call(MicrobatchSource.java:312)
   	at
   org.apache.beam.runners.spark.io.MicrobatchSource$ReaderLoader.call(MicrobatchSource.java:299)
   	at
   org.apache.beam.runners.spark.repackaged.com.google.common.cache.LocalCache$LocalManualCache$1.load(LocalCache.java:4904)
   	at
   org.apache.beam.runners.spark.repackaged.com.google.common.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3628)
   	at
   org.apache.beam.runners.spark.repackaged.com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2336)
   	at
   org.apache.beam.runners.spark.repackaged.com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2295)
   	at
   org.apache.beam.runners.spark.repackaged.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2208)
   	...
   28 more
   
   ```
   
   
   
   Imported from Jira [BEAM-3259](https://issues.apache.org/jira/browse/BEAM-3259). Original Jira may contain additional context.
   Reported by: nerdynick.


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